309 lines
11 KiB
Rust
309 lines
11 KiB
Rust
mod extract_docid_word_positions;
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mod extract_facet_exists_docids;
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mod extract_facet_number_docids;
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mod extract_facet_string_docids;
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mod extract_fid_docid_facet_values;
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mod extract_fid_word_count_docids;
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mod extract_geo_points;
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mod extract_word_docids;
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mod extract_word_pair_proximity_docids;
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mod extract_word_position_docids;
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use std::collections::HashSet;
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use std::fs::File;
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use crossbeam_channel::Sender;
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use log::debug;
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use rayon::prelude::*;
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use self::extract_docid_word_positions::extract_docid_word_positions;
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use self::extract_facet_exists_docids::extract_facet_exists_docids;
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use self::extract_facet_number_docids::extract_facet_number_docids;
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use self::extract_facet_string_docids::extract_facet_string_docids;
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use self::extract_fid_docid_facet_values::extract_fid_docid_facet_values;
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use self::extract_fid_word_count_docids::extract_fid_word_count_docids;
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use self::extract_geo_points::extract_geo_points;
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use self::extract_word_docids::extract_word_docids;
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use self::extract_word_pair_proximity_docids::extract_word_pair_proximity_docids;
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use self::extract_word_position_docids::extract_word_position_docids;
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use super::helpers::{
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as_cloneable_grenad, keep_first_prefix_value_merge_roaring_bitmaps, merge_cbo_roaring_bitmaps,
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merge_roaring_bitmaps, CursorClonableMmap, GrenadParameters, MergeFn, MergeableReader,
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};
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use super::{helpers, TypedChunk};
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use crate::{FieldId, Result};
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/// Extract data for each databases from obkv documents in parallel.
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/// Send data in grenad file over provided Sender.
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pub(crate) fn data_from_obkv_documents(
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original_obkv_chunks: impl Iterator<Item = Result<grenad::Reader<File>>> + Send,
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flattened_obkv_chunks: impl Iterator<Item = Result<grenad::Reader<File>>> + Send,
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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searchable_fields: Option<HashSet<FieldId>>,
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faceted_fields: HashSet<FieldId>,
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primary_key_id: FieldId,
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geo_fields_ids: Option<(FieldId, FieldId)>,
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stop_words: Option<fst::Set<&[u8]>>,
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max_positions_per_attributes: Option<u32>,
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exact_attributes: HashSet<FieldId>,
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) -> Result<()> {
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original_obkv_chunks
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.par_bridge()
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.map(|original_documents_chunk| {
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send_original_documents_data(original_documents_chunk, lmdb_writer_sx.clone())
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})
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.collect::<Result<()>>()?;
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let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))> = flattened_obkv_chunks
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.par_bridge()
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.map(|flattened_obkv_chunks| {
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send_and_extract_flattened_documents_data(
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flattened_obkv_chunks,
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indexer,
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lmdb_writer_sx.clone(),
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&searchable_fields,
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&faceted_fields,
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primary_key_id,
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geo_fields_ids,
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&stop_words,
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max_positions_per_attributes,
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)
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})
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.collect();
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let (
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docid_word_positions_chunks,
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(
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docid_fid_facet_numbers_chunks,
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(docid_fid_facet_strings_chunks, docid_fid_facet_exists_chunks),
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),
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) = result?;
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_word_positions_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_word_pair_proximity_docids,
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merge_cbo_roaring_bitmaps,
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TypedChunk::WordPairProximityDocids,
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"word-pair-proximity-docids",
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);
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_word_positions_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_fid_word_count_docids,
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merge_cbo_roaring_bitmaps,
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TypedChunk::FieldIdWordcountDocids,
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"field-id-wordcount-docids",
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);
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spawn_extraction_task::<_, _, Vec<(grenad::Reader<File>, grenad::Reader<File>)>>(
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docid_word_positions_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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move |doc_word_pos, indexer| extract_word_docids(doc_word_pos, indexer, &exact_attributes),
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merge_roaring_bitmaps,
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|(word_docids_reader, exact_word_docids_reader)| TypedChunk::WordDocids {
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word_docids_reader,
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exact_word_docids_reader,
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},
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"word-docids",
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);
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_word_positions_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_word_position_docids,
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merge_cbo_roaring_bitmaps,
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TypedChunk::WordPositionDocids,
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"word-position-docids",
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);
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_fid_facet_strings_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_facet_string_docids,
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keep_first_prefix_value_merge_roaring_bitmaps,
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TypedChunk::FieldIdFacetStringDocids,
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"field-id-facet-string-docids",
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);
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_fid_facet_numbers_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_facet_number_docids,
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merge_cbo_roaring_bitmaps,
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TypedChunk::FieldIdFacetNumberDocids,
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"field-id-facet-number-docids",
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);
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spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
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docid_fid_facet_exists_chunks.clone(),
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indexer.clone(),
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lmdb_writer_sx.clone(),
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extract_facet_exists_docids,
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merge_cbo_roaring_bitmaps,
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TypedChunk::FieldIdFacetExistsDocids,
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"field-id-facet-exists-docids",
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);
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Ok(())
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}
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/// Spawn a new task to extract data for a specific DB using extract_fn.
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/// Generated grenad chunks are merged using the merge_fn.
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/// The result of merged chunks is serialized as TypedChunk using the serialize_fn
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/// and sent into lmdb_writer_sx.
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fn spawn_extraction_task<FE, FS, M>(
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chunks: Vec<grenad::Reader<CursorClonableMmap>>,
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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extract_fn: FE,
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merge_fn: MergeFn,
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serialize_fn: FS,
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name: &'static str,
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) where
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FE: Fn(grenad::Reader<CursorClonableMmap>, GrenadParameters) -> Result<M::Output>
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+ Sync
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+ Send
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+ 'static,
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FS: Fn(M::Output) -> TypedChunk + Sync + Send + 'static,
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M: MergeableReader + FromParallelIterator<M::Output> + Send + 'static,
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M::Output: Send,
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{
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rayon::spawn(move || {
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let chunks: Result<M> =
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chunks.into_par_iter().map(|chunk| extract_fn(chunk, indexer.clone())).collect();
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rayon::spawn(move || match chunks {
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Ok(chunks) => {
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debug!("merge {} database", name);
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let reader = chunks.merge(merge_fn, &indexer);
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let _ = lmdb_writer_sx.send(reader.map(|r| serialize_fn(r)));
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}
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Err(e) => {
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let _ = lmdb_writer_sx.send(Err(e));
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}
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})
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});
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}
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/// Extract chunked data and send it into lmdb_writer_sx sender:
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/// - documents
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fn send_original_documents_data(
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original_documents_chunk: Result<grenad::Reader<File>>,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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) -> Result<()> {
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let original_documents_chunk =
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original_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
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// TODO: create a custom internal error
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lmdb_writer_sx.send(Ok(TypedChunk::Documents(original_documents_chunk))).unwrap();
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Ok(())
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}
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/// Extract chunked data and send it into lmdb_writer_sx sender:
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/// - documents_ids
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/// - docid_word_positions
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/// - docid_fid_facet_numbers
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/// - docid_fid_facet_strings
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/// - docid_fid_facet_exists
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fn send_and_extract_flattened_documents_data(
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flattened_documents_chunk: Result<grenad::Reader<File>>,
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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searchable_fields: &Option<HashSet<FieldId>>,
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faceted_fields: &HashSet<FieldId>,
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primary_key_id: FieldId,
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geo_fields_ids: Option<(FieldId, FieldId)>,
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stop_words: &Option<fst::Set<&[u8]>>,
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max_positions_per_attributes: Option<u32>,
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) -> Result<(
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grenad::Reader<CursorClonableMmap>,
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(
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grenad::Reader<CursorClonableMmap>,
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(grenad::Reader<CursorClonableMmap>, grenad::Reader<CursorClonableMmap>),
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),
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)> {
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let flattened_documents_chunk =
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flattened_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
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if let Some(geo_fields_ids) = geo_fields_ids {
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let documents_chunk_cloned = flattened_documents_chunk.clone();
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let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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let result =
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extract_geo_points(documents_chunk_cloned, indexer, primary_key_id, geo_fields_ids);
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let _ = match result {
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Ok(geo_points) => lmdb_writer_sx_cloned.send(Ok(TypedChunk::GeoPoints(geo_points))),
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Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
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};
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});
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}
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let (docid_word_positions_chunk, docid_fid_facet_values_chunks): (Result<_>, Result<_>) =
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rayon::join(
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|| {
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let (documents_ids, docid_word_positions_chunk) = extract_docid_word_positions(
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flattened_documents_chunk.clone(),
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indexer.clone(),
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searchable_fields,
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stop_words.as_ref(),
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max_positions_per_attributes,
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)?;
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// send documents_ids to DB writer
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::NewDocumentsIds(documents_ids)));
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// send docid_word_positions_chunk to DB writer
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let docid_word_positions_chunk =
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unsafe { as_cloneable_grenad(&docid_word_positions_chunk)? };
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let _ = lmdb_writer_sx
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.send(Ok(TypedChunk::DocidWordPositions(docid_word_positions_chunk.clone())));
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Ok(docid_word_positions_chunk)
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},
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|| {
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let (
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docid_fid_facet_numbers_chunk,
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docid_fid_facet_strings_chunk,
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docid_fid_facet_exists_chunk,
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) = extract_fid_docid_facet_values(
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flattened_documents_chunk.clone(),
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indexer.clone(),
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faceted_fields,
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)?;
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// send docid_fid_facet_numbers_chunk to DB writer
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let docid_fid_facet_numbers_chunk =
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unsafe { as_cloneable_grenad(&docid_fid_facet_numbers_chunk)? };
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdDocidFacetNumbers(
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docid_fid_facet_numbers_chunk.clone(),
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)));
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// send docid_fid_facet_strings_chunk to DB writer
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let docid_fid_facet_strings_chunk =
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unsafe { as_cloneable_grenad(&docid_fid_facet_strings_chunk)? };
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdDocidFacetStrings(
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docid_fid_facet_strings_chunk.clone(),
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)));
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let docid_fid_facet_exists_chunk =
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unsafe { as_cloneable_grenad(&docid_fid_facet_exists_chunk)? };
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Ok((
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docid_fid_facet_numbers_chunk,
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(docid_fid_facet_strings_chunk, docid_fid_facet_exists_chunk),
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))
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},
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);
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Ok((docid_word_positions_chunk?, docid_fid_facet_values_chunks?))
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}
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